library(lubridate)
library(ggplot2)
library(StreamMetabolism)
library(xts)
library(reshape)
library(scales)
33014_Bad_driburg <- sunrise.set(51.7328389,9.021547700000042, "2023/01/01", timezone="MET", num.days=370)
sunrise <- 33014_Bad_driburg$sunrise
sunset <- 33014_Bad_driburg$sunset
sunrise <- strftime(sunrise, format="%R", tz="MET")
sunset <- strftime(sunset, format="%R", tz="MET")
33014_Bad_driburg["sr"] <- as.POSIXct(sunrise, format = "%H:%M")
33014_Bad_driburg["ss"] <- as.POSIXct(sunset, format = "%H:%M")
33014_Bad_driburg["timestamp"] <- align.time(33014_Bad_driburg$sunrise, 60*10)
33014_Bad_driburg <- 33014_Bad_driburg[c("timestamp", "sr", "ss")]
locsrss <- ggplot(33014_Bad_driburg, aes(x=33014_Bad_driburg$timestamp)) + geom_line(aes(y=33014_Bad_driburg$sr)) + geom_line(aes(y=33014_Bad_driburg$ss)) + labs(title = " Sonnenauf-/Sonnenuntergang - 33014_Bad_driburg 2023", x = "Datum", y = "Zeit")
pdf("33014_Bad_driburg_SA_SU.pdf", paper="a4r", width=11)
locsrss
dev.off()
png(filename="33014_Bad_driburg_SA_SU.png", width = 1400, height = 800, units = "px")
locsrss
dev.off()
33014_Bad_driburg["Sonnenaufgang"] <- strftime(33014_Bad_driburg$sr, format="%H:%M")
33014_Bad_driburg["Sonnenuntergang"] <- strftime(33014_Bad_driburg$ss, format="%H:%M")
write.table(33014_Bad_driburg, file="33014_Bad_driburg_SaSu.csv", dec=',', sep=';', row.names=FALSE)